Design And Implementation For Distributed Medical Image Classification System Based On SLIQ

With the development of computer tomography, magnetic resonance imaging technology, and other medical imaging technology, People has gained the more and more diagnosis of medical image , how effective use of computer technology to classify so many scholars has become a hot issue both at home and abroad. In reality, medical image data are scattered store in many hospitals. They transfer the information outside between them except passing a network, other all independences of resource. Therefore, the study and propose appropriate to the classification of medical images distributed method has a fairly high academic value and broad application prospects.The paper take the medicine image data as the research object, from the theory, the algorithm and applied three aspects to conduct there search to the distributional medicine picture classification method. In view of the existing policy-making tree algorithm existence question, we proposed improvement algorithm DMI_SLIQ based on SLIQ, DMI_SLIQ has solved the distributional classified excavation problem. This paper has established distributional medicine image classification frame based on the SLIQ.The paper from the theory, the algorithm and applied three aspects to conduct the research to the distributional medicine picture classification method, the main work included 1. This article classifies technical and the digital medical image processing technology, and has studied the main method about the distributional medicine picture classified, and has produced the medicine picture characteristic which this article tests uses.2. In view of the decision tree algorithm SLIQ shortcoming, this paper improved and proposed the DMI_SLIQ algorithm. Thus solves the SLIQ algorithm search space greatly, consumes when are to many and so on the question, and compared with algorithm performance, through analysis experiment result.3. In view of the medicine picture distributional depositing characteristic, distributional medicine image classification theory frame is proposed suitable for the issue. This frame divides into three parts, we produces each detailed design thought and the principle of work.4. This paper has realized distributional medicine image classification experiment system DMIDM, and realized the distributional synchronizer duty dispatch algorithm, the overall situation model rule production algorithm in the system which this article proposed. The framework includes: that layer, layer handling, and mining layer.